{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Noise filter with labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sdm as sdmlib\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image, ImageDraw, ImageFont\n",
    "import urllib, cStringIO\n",
    "import random\n",
    "from IPython.core.display import display, Image as IPythonImage\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "width = 30\n",
    "height = 30\n",
    "noise_flip = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_img(letter='A'):\n",
    "    img = Image.new('RGBA', (width, height), (255, 255, 255))\n",
    "    font = ImageFont.truetype('Arial.ttf', 30)\n",
    "    draw = ImageDraw.Draw(img)\n",
    "    w, h = draw.textsize(letter, font=font)\n",
    "    top = (height-w)//2\n",
    "    left = (width-h)//2 if h <= 30 else 30-2-h\n",
    "    draw.text((top, left), letter, (0, 0, 0), font=font)\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_noise_add(img, p=0.15, flip=False):\n",
    "    img2 = img.copy()\n",
    "    draw = ImageDraw.Draw(img2)\n",
    "    for py in xrange(height):\n",
    "        for px in xrange(width):\n",
    "            if random.random() < p:\n",
    "                if flip:\n",
    "                    pixel = img.getpixel((px, py))\n",
    "                    value = sum([int(x/255+0.5) for x in pixel[:3]])//3\n",
    "                    assert value == 0 or value == 1\n",
    "                    value = (1 - value)*255\n",
    "                    draw.point((px, py), fill=(value, value, value))\n",
    "                else:\n",
    "                    draw.point((px, py), fill=(0, 0, 0))\n",
    "    return img2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20a0e2350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = gen_img();\n",
    "img2 = gen_noise_add(img, flip=noise_flip)\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(img)\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(img2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_bitstring(img):\n",
    "    v = []\n",
    "    bs = sdmlib.Bitstring.init_ones(1000)\n",
    "    for py in xrange(height):\n",
    "        for px in xrange(width):\n",
    "            pixel = img.getpixel((px, py))\n",
    "            value = sum([int(x/255+0.5) for x in pixel[:3]])//3\n",
    "            assert value == 0 or value == 1\n",
    "            idx = px+width*py\n",
    "            assert idx >= 0 and idx < 1000, 'Ops {} {} {}'.format(x, y, idx)\n",
    "            bs.set_bit(idx, value)\n",
    "            v.append(value)\n",
    "    v2 = [bs.get_bit(i) for i in xrange(height*width)]\n",
    "    assert v == v2\n",
    "    return bs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_img(bs):\n",
    "    img = Image.new('RGBA', (30, 30), (255, 255, 255))\n",
    "    draw = ImageDraw.Draw(img)\n",
    "    for py in xrange(height):\n",
    "        for px in xrange(width):\n",
    "            idx = px+width*py\n",
    "            assert idx >= 0 and idx < 1000, 'Ops {} {} {}'.format(x, y, idx)\n",
    "            x = 255*bs.get_bit(idx)\n",
    "            draw.point((px, py), fill=(x, x, x))\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "bits = 1000\n",
    "sample = 1000000\n",
    "scanner_type = sdmlib.SDM_SCANNER_OPENCL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "address_space = sdmlib.AddressSpace.init_random(bits, sample)\n",
    "counter = sdmlib.Counter.init_zero(bits, sample)\n",
    "sdm = sdmlib.SDM(address_space, counter, 451, scanner_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sdm.write_random_bitstrings(500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fill_memory(letter, p=0.15, n=100):\n",
    "    cols = 15\n",
    "    rows = n//cols + 1\n",
    "    plt.figure(figsize=(20,10))\n",
    "    for i in xrange(n):\n",
    "        img = gen_img(letter=letter);\n",
    "        img2 = gen_noise_add(img, flip=noise_flip)\n",
    "        #display(img2)\n",
    "        plt.subplot(rows, cols, i+1)\n",
    "        plt.imshow(img2)\n",
    "        bs = to_bitstring(img2)\n",
    "        sdm.write(bs, bs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10690f910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fill_memory('A')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read(letter, n=6, p=0.25):\n",
    "    n = 6\n",
    "    cols = 7\n",
    "    rows = n//cols + 1\n",
    "    plt.figure(figsize=(20,10))\n",
    "\n",
    "    img = gen_img(letter=letter);\n",
    "    img2 = gen_noise_add(img, p=p, flip=noise_flip)\n",
    "    plt.subplot(rows, cols, 1)\n",
    "    plt.imshow(img2)\n",
    "\n",
    "    for i in xrange(n):\n",
    "        bs2 = to_bitstring(img2)\n",
    "        bs3 = sdm.read(bs2)\n",
    "        img3 = to_img(bs3)\n",
    "        plt.subplot(rows, cols, i+2)\n",
    "        plt.imshow(img3)\n",
    "        img2 = img3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20a012390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read('W', p=0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIEAAACqCAYAAAA6El8nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAFuFJREFUeJzt3UGoJPd9J/Dfby3nEucgryZCKGInBLEgFlbm9ZhAckjIZlHMgpxLiPALOphVDjHY4ItwDptjDolzCgEFixGM1iFgB4vF7EYRBhMIZt4zxpGtTeQ1CpEYS0/4YN8SZf85TNt509Nvurq6qvtXrz4faKa7XlX9f1X1nW74U/3rbK0FAAAAAJfbvzt0AQAAAACMzyQQAAAAwAyYBAIAAACYAZNAAAAAADNgEggAAABgBkwCAQAAAMyASSAAAACAGTAJBAAAADADO00CZeYTmfl3mfmdzHx2qKKgD3mkClmkClmkEnmkClmkClnkELK11m/DzPdFxN9HxK9GxJsRcTMinmqtffse29w12NHR0dZjn56e3rWsy37WbTeUPuP3OfaqupzbTcf7xhtvxLvvvpt9xt82jw888EC7evVqn6GYgX1mMUIeube+eZRFhuZzmip8TlOJz2mq6JrF+3YY48MR8Z3W2ncjIjLzzyLiyYi4MLTrnJycbD1w5t3H1WU/67YbSp/x+xx7VV3O7abjXSwWu5SwVR6vXr16qc4/w9pnFiPkkXvbIY+yyKB8TlOFz2kq8TlNFV2zuMvXwR6OiH889/rN5bI7ZOYzmXmSmdLKmDbm8XwWz87O9locs7L1e6M8MhJZpBKf01ThvZEqZJGDGL0xdGvtudbaorW205Q97Op8Fq9cuXLocpg5eaQKWaQKWaQSeaQKWWRou3wd7K2IeOTc659ZLtvK6teIduhRtHE/65Z1+RrT6nbrtunzVbN123Spscs56vvVt77nf6xztIVB8ggDkEWqkEUqkUeqkEWqkEUOYpc7gW5GxKOZ+bOZ+RMR8ZsR8dIwZcHW5JEqZJEqZJFK5JEqZJEqZJGD6H0nUGvtvcz8RET8n4h4X0Q831r71mCVwRbkkSpkkSpkkUrkkSpkkSpkkUPZ5etg0Vr7ckR8eaBaYCfySBWySBWySCXySBWySBWyyCHsNAm0raOjo40/aTdy35iNDt2Tp2tNm8br2/+oT4+kvuus2vHnPgEAAIB7GP3XwQAAAAA4PJNAAAAAADNgEggAAABgBkwCAQAAAMzAXhtDn56ebmxg3KehcMTdDY3XNTju29C5T019xxpq/C41dR2rT0PpoRpsAwAAAMNwJxAAAADADJgEAgAAAJgBk0AAAAAAM7DXSaCjo6Nord3xyMw7HkNZHWfdWJm5dr3Vx6p1+xmz7rF0HavPeeyyHwAAAGB/3AkEAAAAMAMmgQAAAABmwCQQAAAAwAyYBAIAAACYgft22Tgz34iIH0bEv0TEe621xb3WPz093dhEuUuT5XVNhbs0Gh6qGfFFzaK33a7rflbXG7IRdRer4/U9/lVDN4feNo8wFlmkClmkEnmkClmkClnkEHaaBFr65dbauwPsB4Ygj1Qhi1Qhi1Qij1Qhi1Qhi+yVr4MBAAAAzMCuk0AtIv4yM08z85l1K2TmM5l5kpknO44Fm9wzj+ezeHZ2doDymJGt3hvlkRHJIpX4nKYK741UIYvs3a5fB/vF1tpbmfnTEfFyZv7f1tpXz6/QWnsuIp6LiFgsFu3k5HBzQevGvnbt2h2v1/WpOT4+vuP1iy++eNc6Q/XtGapPTpfeQkNu1+f4R+htdM88rmZx6MEvMmYPpzGvaZd9Dd3X6RLZ+r3xEEX+yFAZlYeSZJFKSn5OryOLl573RqqQRfZupzuBWmtvLf99JyL+IiI+PERR0Ic8UoUsUoUsUok8UoUsUoUscgi9J4Ey8ycz86d+9Dwi/mtEvDpUYbANeaQKWaQKWaQSeaQKWaQKWeRQdvk62IMR8RfLW8Lui4j/2Vr734NUBduTR6qQRaqQRSqRR6qQRaqQRQ6i9yRQa+27EfGfB6wFepNHqpBFqpBFKpFHqpBFqpBFDmXXxtBbOT097dVYtss2XdZZLBZ3Lesy/o0bN+54va4x9JjNf/scf9/9DDV+n2Zf667PFI2ZhT6GagK9y74AAAA4vF1/Ih4AAACACTAJBAAAADADJoEAAAAAZsAkEAAAAMAM7LUx9DpdGgr3aUa7rqntzZs371p27dq1jWMdHx/vXM9FNa3q0yh73XZ9m/r2Pba+dV9Gl+VcDJVFAAAAanAnEAAAAMAMmAQCAAAAmAGTQAAAAAAzcPCeQH36jvTtG3RycrJxuzF7nBy6x0rfPjRDXaNN+10sFtsVRieHzjQAAAA1uBMIAAAAYAZMAgEAAADMgEkgAAAAgBnYOAmUmc9n5juZ+eq5ZR/MzJcz8/Xlv/ePWybcJo9UIYtUIYtUIo9UIYtUIYtU0+VOoOsR8cTKsmcj4pXW2qMR8cry9Whaa3c8hpSZdzxWx1o33uo26xrvdllnnb7jdzmOvo8++h5/B9fjwHmcmqGuKXe5HrJIDddDFqnjesgjNVwPWaSG6yGLFLJxEqi19tWI+P7K4icj4oXl8xci4qMD1wVrySNVyCJVyCKVyCNVyCJVyCLV9O0J9GBr7dby+fci4sGLVszMZzLzJDPv/n12GEanPJ7P4tnZ2f6qY056vTfKIyOQRSrxOU0V3hupQhY5mJ0bQ7fb3y258PslrbXnWmuL1tpi17Fgk3vl8XwWr1y5sufKmJtt3hvlkTHJIpX4nKYK741UIYvs2309t3s7Mx9qrd3KzIci4p0uGx0dHcXJyb1vCFrXO2a1h0nf/jJD9ULpsp8u63Q51ovW27Rd1313Mdb4A/YJ6pXHKdLPp7zZZJHyZJFK5JEqZJEqZJGD6Xsn0EsR8fTy+dMR8aVhyoFe5JEqZJEqZJFK5JEqZJEqZJGD6fIT8Z+PiL+JiP+YmW9m5scj4vcj4lcz8/WI+C/L1zA6eaQKWaQKWaQSeaQKWaQKWaSajV8Ha609dcGffmXgWmAjeaQKWaQKWaQSeaQKWaQKWaSanRtDAwAAAFBf38bQvZyent7VDHi10W2Xxsh9my5vakp90XYf+9jH7nh948aNjfvpomsT6C4Nlfuco3WGaiitgfE4hrrOAAAAzI87gQAAAABmwCQQAAAAwAyYBAIAAACYgb32BDo6OurUl2dVl544XSwWi437Xuf4+HjjOl16tXRZp0s9XXsJ9dF333rT1DFUDy3XFAAA4HJxJxAAAADADJgEAgAAAJgBk0AAAAAAM2ASCAAAAGAG9toYep2hGipv2qZvPevG67LvofbTV8VGv5uu47rG3Wyvz3U+dDYAAAAYnzuBAAAAAGbAJBAAAADADJgEAgAAAJiBjT2BMvP5iPhvEfFOa+0/LZf9XkT894g4W672mdbal/sU0KcXSZdeOuv2e3Jycteya9eubdzX8fFxr/FW9elt1HW7Put0NdQ1GqLvzNh5vIwq9oe6DGSRKmSRSuSRKmSRKmSRarrcCXQ9Ip5Ys/yPWmuPLx8Cy75cD3mkhushi9RwPWSROq6HPFLD9ZBFargeskghGyeBWmtfjYjv76EW2EgeqUIWqUIWqUQeqUIWqUIWqWaXnkCfyMxvZubzmXn/RStl5jOZeZKZJ2dnZxetBrvamEdZZE+8N1KFLFKJz2mq8N5IFbLIQfSdBPqTiPi5iHg8Im5FxB9etGJr7bnW2qK1trhy5UrP4eCeOuVRFtkD741UIYtU4nOaKrw3UoUscjAbG0Ov01p7+0fPM/NPI+J/ddnu9PS0d3PkbY3ZDLdPE+iu6/Td9+p2YzaB7jL+UOeoi755rG6o5t59G4mzvcuaRaZHFqlEHqlCFqlCFjmkXncCZeZD517+ekS8Okw5sD15pApZpApZpBJ5pApZpApZ5JC6/ET85yPilyLigcx8MyL+R0T8UmY+HhEtIt6IiN8esUb4MXmkClmkClmkEnmkClmkClmkmo2TQK21p9Ys/twItcBG8kgVskgVskgl8kgVskgVskg1u/w6GAAAAAAT0asx9JCGag7cxcnJyd7G6tsYue/56NLod6hm1WM12F4sFoPs97IY8/+GRtAAAADz404gAAAAgBkwCQQAAAAwAyaBAAAAAGZgrz2Bjo6ONvbl6dsHZbXHSdf9dNnuxo0bG/fTZbwufVj69vLp0+Ol61h9+g31PQ4AAABgHO4EAgAAAJgBk0AAAAAAM2ASCAAAAGAGTAIBAAAAzMBeG0P31afp87rGxOuaUndpaHx8fHzH63WNooeqcd12Xfbd5Ti66LvdEPteLBajjT0FfZubAwAAQBfuBAIAAACYAZNAAAAAADNgEggAAABgBjZOAmXmI5n5lcz8dmZ+KzM/uVz+wcx8OTNfX/57/6Z9nZ6eRmbe8VjVWrvrsWmbC+o+6HbrjqOLvsffZ6yuxzrW+NsaMosV9cldn/1e1FNqrPEvq8ueR6ZDFqlCFqlEHqlCFqmmy51A70XEp1trj0XEz0fE72TmYxHxbES80lp7NCJeWb6GMckilcgjVcgiVcgilcgjVcgipWycBGqt3WqtfX35/IcR8VpEPBwRT0bEC8vVXoiIj45VJETIIrXII1XIIlXIIpXII1XIItVs1RMoM69GxIci4msR8WBr7dbyT9+LiAcv2OaZzDzJzLt/nx162jWLZ2dne6mTeZBHqpBFqpBFKpFHqpBFKug8CZSZH4iIL0TEp1prPzj/t3a7CczaRjCttedaa4vW2mKnSmFpiCxeuXJlD5UyB/JIFbJIFbJIJfJIFbJIFZ0mgTLz/XE7sC+21r64XPx2Zj60/PtDEfHOpv0cHR0N0iz5ghp7NbVd14h5rCbH65rvdql7rBq77mfMptPbGiqLc9LlOo+Z+8tMHqlCFqlCFqlEHqlCFqmky6+DZUR8LiJea6199tyfXoqIp5fPn46ILw1fHvwbWaQSeaQKWaQKWaQSeaQKWaSa+zqs8wsR8VsR8beZ+Y3lss9ExO9HxJ9n5scj4h8i4jfGKRF+TBapRB6pQhapQhapRB6pQhYpZeMkUGvtryPiou/y/Mqw5cDFZJFK5JEqZJEqZJFK5JEqZJFqutwJtFfresd06U/SZZ2Tk7t/oGx1vC776dLfZqgeOENaPba+57rLdkOdRwAAAGAYW/1EPAAAAADTZBIIAAAAYAZMAgEAAADMgEkgAAAAgBko1xh6qCbQ65oO37x5s9e+bty4cc/X68brst+uxmpe3de68fuMt7qfxWLRuyYAAADg3twJBAAAADADJoEAAAAAZsAkEAAAAMAMmAQCAAAAmIG9NoY+PT0dpGHxUI2Ju263Ot6YTZeHGr9v8+h1y/o0uR7yGrGdMZuUAwAAMF3uBAIAAACYAZNAAAAAADOwcRIoMx/JzK9k5rcz81uZ+cnl8t/LzLcy8xvLx0fGL5c5k0UqkUeqkEWqkEUqkUeqkEWq6dIT6L2I+HRr7euZ+VMRcZqZLy//9kettT8YsqC+vWS69D05OTnpVdNQxuzVMtS+hjr/I/X/2WsWK+pynfv2g+qzn5mbfR4pQxapQhapRB6pQhYpZeMkUGvtVkTcWj7/YWa+FhEPj10YrJJFKpFHqpBFqpBFKpFHqpBFqtmqJ1BmXo2ID0XE15aLPpGZ38zM5zPz/gu2eSYzTzLzsLfhcKnsmsWzs7M9VcocyCNVyCJVyCKVyCNVyCIVdJ4EyswPRMQXIuJTrbUfRMSfRMTPRcTjcXtm8w/Xbddae661tmitLQaoFwbJ4pUrV/ZWL5ebPFKFLFKFLFKJPFKFLFJFp0mgzHx/3A7si621L0ZEtNbebq39S2vt/0fEn0bEh8crE26TRSqRR6qQRaqQRSqRR6qQRSrZ2BMob3eQ/VxEvNZa++y55Q8tv98YEfHrEfHqpn0dHR3d1Zx5rAa16/a7bj9dGhofHx9vXU+X4+paY591uhiy8W+Xpte7NoseMotTNVRzcU2fdyePVCGLVCGLVCKPVCGLVNPl18F+ISJ+KyL+NjO/sVz2mYh4KjMfj4gWEW9ExG+PUiH8G1mkEnmkClmkClmkEnmkClmklC6/DvbXEbHuFo4vD18OXEwWqUQeqUIWqUIWqUQeqUIWqWarXwcDAAAAYJq6fB1sVEP1JunSb2a1H1FExLVr1zZud+PGjY1jrR5H3+Pq2ydoqP307dujx8zuuvSnAgAAgL7cCQQAAAAwAyaBAAAAAGbAJBAAAADADJgEAgAAAJiBgzeGXjVmY+IuzZLXrbPPBr1DNW/u26h53XZdxtPEeDtdro9m2+yLrFGFLFKFLFKJPFKFLF4O7gQCAAAAmAGTQAAAAAAzYBIIAAAAYAb22hPo9PR0Y++Yvj1puui776G++7g61r779nQxVE+mLv2XAAAAgP1xJxAAAADADJgEAgAAAJgBk0AAAAAAM2ASCAAAAGAGcp/NejPzLCL+ISIeiIh39zbwcKZY95Rq/g+ttSv7GOhcFiOmdY5+RM3j2lsWIyb/3jjFmiOmVfch3hundH7Om2LdU6pZFrubYt1TqtnndHdTrDliWnV7b+xmijVHTKvuTlnc6yTQjwfNPGmtLfY+8I6mWPcUa963KZ4jNV9OUzxHU6w5Yrp178tUz88U655izfs01fMzxbqnWPO+TfEcTbHmiOnWvS9TPD9TrDliunXfi6+DAQAAAMyASSAAAACAGTjUJNBzBxp3V1Ose4o179sUz5GaL6cpnqMp1hwx3br3ZarnZ4p1T7HmfZrq+Zli3VOsed+meI6mWHPEdOvelymenynWHDHdui90kJ5AAAAAAOyXr4MBAAAAzIBJIAAAAIAZ2PskUGY+kZl/l5nfycxn9z1+F5n5fGa+k5mvnlv2wcx8OTNfX/57/yFrXJWZj2TmVzLz25n5rcz85HJ56boPaQpZjJDHOZDF8cji9qaQR1mchylkMUIe50AWxyOL25tCHmWxtr1OAmXm+yLijyPi1yLisYh4KjMf22cNHV2PiCdWlj0bEa+01h6NiFeWryt5LyI+3Vp7LCJ+PiJ+Z3luq9d9EBPKYoQ8XmqyODpZ3MKE8ng9ZPFSm1AWI+TxUpPF0cniFiaUx+shi2Xt+06gD0fEd1pr322t/VNE/FlEPLnnGjZqrX01Ir6/svjJiHhh+fyFiPjoXovaoLV2q7X29eXzH0bEaxHxcBSv+4AmkcUIeZwBWRyRLG5tEnmUxVmYRBYj5HEGZHFEsri1SeRRFmvb9yTQwxHxj+dev7lcNgUPttZuLZ9/LyIePGQx95KZVyPiQxHxtZhQ3Xs25SxGTOi6yuNGsrgnstjJlPM4mWsqi51MOYsRE7qu8riRLO6JLHYy5TxO5ppe9ixqDN1Da61FRDt0Hetk5gci4gsR8anW2g/O/61y3fRX+brK47xUvqayOC+Vr6kszk/l6yqP81L5msrivFS+pnPI4r4ngd6KiEfOvf6Z5bIpeDszH4qIWP77zoHruUtmvj9uB/bF1toXl4vL130gU85ixASuqzx2Josjk8WtTDmP5a+pLG5lylmMmMB1lcfOZHFksriVKeex/DWdSxb3PQl0MyIezcyfzcyfiIjfjIiX9lxDXy9FxNPL509HxJcOWMtdMjMj4nMR8Vpr7bPn/lS67gOachYjil9XedyKLI5IFrc25TyWvqayuLUpZzGi+HWVx63I4ohkcWtTzmPpazqrLLbW9vqIiI9ExN9HxP+LiN/d9/gda/x8RNyKiH+O29+z/HhE/Pu43Q389Yj4q4j44KHrXKn5F+P2rWnfjIhvLB8fqV73gc9Z+Swu65THS/6QxVFrlsXtz1n5PMriPB5TyOKyTnm85A9ZHLVmWdz+nJXPoyzWfuTygAEAAAC4xDSGBgAAAJgBk0AAAAAAM2ASCAAAAGAGTAIBAAAAzIBJIAAAAIAZMAkEAAAAMAMmgQAAAABm4F8B9g+y9Zpo7nsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20947d9d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "read('I', p=0.42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x105508a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "v = []\n",
    "for p in [0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45]:\n",
    "    img = gen_img(letter='A');\n",
    "    img2 = gen_noise_add(img, p=p, flip=noise_flip)\n",
    "    v.append(img2)\n",
    "\n",
    "fig = plt.figure(figsize=(8, 6), dpi=200)\n",
    "for i, img in enumerate(v):\n",
    "    plt.subplot(1, 10, i+1)\n",
    "    plt.imshow(img, label=str(p))\n",
    "plt.subplots_adjust(bottom=0.1, right=2.0, top=0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
